CN113381949B - Noise estimation method, device, receiver and storage medium of physical broadcast channel - Google Patents

Abstract

The embodiment of the application discloses a noise estimation method, a device, a receiver and a storage medium of a physical broadcast channel, which belong to the technical field of communication. According to the embodiment of the application, when the receiver comprises the synchronous signal in the target resource unit group, the receiver can obtain n sample signals comprising the synchronous signal and the reference signal, and the corresponding noise covariance matrix of the result is calculated according to the n sample signals, so that more samples can be obtained during noise estimation of the target physical broadcast signal block, the noise estimation is more accurate, and the signal receiving performance of the receiver is improved.

Description

Noise estimation method, device, receiver and storage medium for physical broadcast channel

technical field

The embodiments of the present application relate to the field of communication technologies, and in particular to a method, device, receiver and storage medium for noise estimation of a physical broadcast channel.

Background technique

In 5G New Radio (NR, New Radio) technology, PBCH (Physical Broadcast Channel, Physical Broadcast Channel) is the first step in the downlink access process. The noise estimation of PBCH directly affects the receiver performance of PBCH, thereby affecting the baseband communication function.

In some possible implementation manners, the receiver receives an input signal of the PBCH through a front-end module, and then performs steps of channel estimation, noise estimation, demodulation, and decoding on the data, so as to obtain broadcast information. In the demodulated input signal, the receiver needs the output result of the channel estimation and the noise estimation result, and the accuracy of the noise estimation directly affects the receiving performance of the receiver.

SUMMARY OF THE INVENTION

Embodiments of the present application provide a noise estimation method, device, receiver and storage medium for a physical broadcast channel. Described technical scheme is as follows:

According to an aspect of the present application, a method for estimating noise of a physical broadcast channel is provided, the method comprising:

Acquire a target resource unit group in the target physical broadcast channel block, where the target resource unit group is at least two resource units within a specified time-frequency range in the target physical broadcast channel block;

Obtain n sample signals for the target resource unit group, where the sample signals include at least two of synchronization signals, reference signals, and zero-valued resource units, and n is a positive integer;

Calculating n sample noise covariance matrices corresponding to the sample signal;

Calculating the cumulative average of the n sample noise covariance matrices to obtain a result noise covariance matrix, where the result noise covariance matrix is used to indicate the noise condition of the received signal.

According to another aspect of the present application, a device for estimating noise of a physical broadcast channel is provided, and the device includes:

A resource unit acquisition module, configured to acquire a target resource unit group in a target physical broadcast channel block, where the target resource unit group is at least two resource units within a specified time-frequency range in the target physical broadcast channel block;

A sample signal acquisition module, configured to acquire n sample signals from the target resource unit group, where the sample signals include at least two of a synchronization signal, a reference signal, and a zero-value resource unit, and n is a positive integer;

A first calculation module, configured to calculate n sample noise covariance matrices corresponding to the sample signal;

The second calculation module is configured to calculate the cumulative mean value of the n sample noise covariance matrices to obtain a result noise covariance matrix, and the result noise covariance matrix is used to indicate the noise condition of the received signal.

According to another aspect of the present application, a receiver is provided, the receiver includes a processor and a memory, at least one instruction is stored in the memory, and the instruction is loaded and executed by the processor to implement the following: This application implements the noise estimation method of the physical broadcast channel provided.

According to another aspect of the present application, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium, and the instruction is loaded and executed by a processor to realize the physical broadcast channel provided by the implementation of the present application noise estimation method.

The beneficial effects brought by the technical solutions provided by the embodiments of the present application may include:

By obtaining the target resource unit group in the target physical broadcast channel block, when the target resource unit group includes the synchronization signal, obtain the corresponding n sample signals, the sample signal includes the synchronization signal and the reference signal, n is a positive integer, and the sample signal is calculated Corresponding n sample noise covariance matrices, and calculating the cumulative mean value of the n sample noise covariance matrices to obtain a result noise covariance matrix, the result noise covariance matrix is used to indicate the noise situation of the received signal. Since the embodiment of the present application enables the receiver to obtain n sample signals including the synchronization signal and the reference signal when the target resource unit group includes the synchronization signal, and calculate the corresponding result noise covariance matrix accordingly, so that the target physical When estimating the noise of the broadcast signal block, more samples can be obtained, thus making the noise estimation more accurate and improving the performance of the receiver for receiving signals.

Description of drawings

In order to more clearly introduce the technical solutions in the embodiments of the present application, the drawings that need to be used in the description of the embodiments of the present application will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application , for those skilled in the art, other drawings can also be obtained based on these drawings without creative work.

FIG. 1 is a structural block diagram of a receiver provided in an exemplary embodiment of the present application;

FIG. 2 is a block diagram of a system applied to a method for estimating noise of a physical broadcast channel provided by an exemplary embodiment of the present application;

FIG. 3 is a flowchart of a noise estimation method for a physical broadcast channel provided in an exemplary embodiment of the present application;

FIG. 4 is a schematic diagram based on the SSB structure shown in FIG. 3;

FIG. 5 is a flow chart of another noise estimation method for a physical broadcast channel provided in another exemplary embodiment of the present application;

Fig. 6 is a schematic diagram of a sample signal provided based on the embodiment shown in Fig. 5;

Fig. 7 is a schematic diagram of another sample signal provided based on the embodiment shown in Fig. 5;

Fig. 8 is a structural block diagram of an apparatus for estimating noise of a physical broadcast channel provided by an exemplary embodiment of the present application.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as recited in the appended claims.

In the description of the present application, it should be understood that the terms "first", "second" and so on are used for descriptive purposes only, and should not be understood as indicating or implying relative importance. In the description of this application, it should be noted that, unless otherwise clearly stipulated and limited, the terms "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integrated Ground connection; it can be mechanical connection or electrical connection; it can be direct connection or indirect connection through an intermediary. Those of ordinary skill in the art can understand the specific meanings of the above terms in this application in specific situations. In addition, in the description of the present application, unless otherwise specified, "plurality" means two or more. "And/or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and/or B may indicate: A exists alone, A and B exist simultaneously, and B exists independently. The character "/" generally indicates that the contextual objects are an "or" relationship.

In the embodiment of the present application, the method for the receiver to estimate the noise of the received signal may be to use the LS estimation result of the DMRS (Demodulation Reference Signal, demodulation reference signal) of PBCH to subtract the result of the channel estimation to obtain the noise value , the noise values of multiple receiving antennas form a noise vector, and the noise vector is autocorrelated to obtain a noise covariance matrix of each RS (Reference Signal, reference signal) point. Within a specified time-frequency range (that is, a certain time-frequency region), the receiver averages the noise autocorrelation matrices of multiple RS points to obtain statistical characteristics of interference and noise within the specified time-frequency range. It should be noted that the statistical characteristics of interference and noise within the specified time-frequency range are represented by a noise covariance matrix, which will be used as an input signal and sent to the demodulation module for noise whitening processing.

In order to make the solutions shown in the embodiments of the present application easy to understand, several terms appearing in the embodiments of the present application are introduced below.

3GPP (3rd Generation Partnership Project, Third Generation Partnership Project): An organization that specifies standardized communication rules.

SS (Synchronization Signal, synchronization signal).

PSS (Primary Synchronization Signal, primary synchronization signal).

SSS (Secondary Synchronization Signal, secondary synchronization signal).

NE (Noise Estimation, noise estimation).

NoiseCov(Noise Covariance, noise variance matrix).

CE (Channel Estimation, channel estimation).

Demod (Demodulation, demodulation).

BLER (Block Error Rate, block error rate).

DFE (Digital Front End, digital front end).

CSM (Cell Search and Measurement, cell search and measurement).

DEC (Decoding, decoding).

Exemplarily, the method for estimating noise of a physical broadcast channel shown in the embodiment of the present application may be applied in a receiver. Receivers can include microcomputers, mobile phones, tablets, laptops, desktops, all-in-one computers, servers, workstations, or televisions, among others.

Please refer to FIG. 1 , which is a structural block diagram of a receiver provided in an exemplary embodiment of the present application. As shown in FIG. 1 , the receiver includes a processor 120, a memory 140 and a radio frequency antenna 160, and at least one instruction is stored in the memory 140, and the instruction is loaded and executed by the processor 120 to implement various aspects of the present application. The noise estimation method of the physical broadcast channel described in the method embodiment. The radio frequency antenna 160 is used for transmitting and receiving wireless signals.

In this application, the receiver 100 is an electronic device having a PBCH noise estimation function. When the receiver 100 acquires the target resource unit group in the SSB (Synchronization Signal and PBCH Block, synchronization signal and physical broadcast channel block), the receiver 100 can acquire the corresponding n Sample signal, sample signal includes synchronization signal and reference signal, calculate the covariance matrix of n samples corresponding to the sample signal, calculate the cumulative mean value of the noise covariance matrix of n samples, and obtain the result noise covariance matrix, the result noise covariance matrix Used to indicate the noise condition of the received signal.

Processor 120 may include one or more processing cores. The processor 120 uses various interfaces and lines to connect various parts in the entire receiver 100, and by running or executing instructions, programs, code sets or instruction sets stored in the memory 140, and calling data stored in the memory 140, execute Various functions of the receiver 100 and processing data. Optionally, the processor 120 may use at least one of Digital Signal Processing (Digital Signal Processing, DSP), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), and Programmable Logic Array (Programmable LogicArray, PLA). implemented in the form of hardware. The processor 120 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), a modem, and the like. Among them, the CPU mainly handles the operating system, user interface and application programs, etc.; the GPU is used to render and draw the content that needs to be displayed on the display screen; the modem is used to handle wireless communication. It can be understood that, the above-mentioned modem may not be integrated into the processor 120, but may be implemented by a single chip.

The memory 140 may include a random access memory (Random Access Memory, RAM), and may also include a read-only memory (Read-Only Memory, ROM). Optionally, the memory 140 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium). The memory 140 may be used to store instructions, programs, codes, sets of codes or sets of instructions. The memory 140 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), Instructions and the like for implementing the following method embodiments; the storage data area can store data and the like involved in the following method embodiments.

The radio frequency antenna 160 is used to receive the signal transmitted by the transmitter, and receive the signal into the receiver for processing.

Please refer to FIG. 2 . FIG. 2 is a system block diagram to which a method for estimating noise of a physical broadcast channel provided by an exemplary embodiment of the present application is applied. In FIG. 2 , it includes a radio frequency front end (RF, Radio Frequency) 210, an analog-to-digital converter (Analog-to-Digital Converter, ADC) 220, a digital front end (DFE) 230, a Fourier transform (FFT) chip 240, and a cell Search and Measure (CSM) chip 250 , Noise Estimation (NE) chip 260 , Channel Estimation (CE) chip 270 , demodulation chip 280 and decoding chip 290 .

It should be noted that, in practical applications, the digital front end 230 and the Fourier transform chip 240 can be integrated into one piece of hardware. For example, the digital front end 230 can realize the function of the Fourier transform chip 240 .

In the signal processing process of the receiver, the radio frequency front end 210 receives the signal, transmits the signal to the analog-to-digital converter 220 for conversion, and obtains the converted signal. Subsequently, the signal is transmitted into the digital front end 230 . The digital front end 230 sends the signal gain of the synchronization signal (SS) in the time domain to the cell search and measurement chip 250, and passes the signal of the synchronization signal (SS) in the time domain through the Fourier transform of the Fourier transform chip 240. After the leaf transformation, the signal of the synchronization signal (SS) in the frequency domain is obtained, and the signal is amplified and sent to the cell search and measurement chip 250 . The receiver can also send the reference signal (RS) to the channel estimation chip 270 after the signal of the synchronization signal (SS) in the time domain is Fourier transformed by the Fourier transform chip 240, and the gained The frequency domain signal Null RE Rec is sent to the noise estimation chip 260 . Subsequently, the channel estimation chip 270 processes the signal to obtain a DMRS position LS estimation result 271 and a channel estimation result 272 after channel filtering, and sends them to the noise estimation chip 260 . The noise estimation chip 260 outputs the noise variance matrix 261 to the demodulation chip 280 . The demodulation chip 280 will also receive the signal sent by the channel estimation chip 270 and the signal sent by the Fourier transform chip 240 at the same time. The demodulation chip 280 processes the synthesized information through the LLR method, and sends the processed signal to the decoding chip 290, so that the receiver can successfully decode the received signal.

Please refer to FIG. 3 . FIG. 3 is a flowchart of a method for estimating noise of a physical broadcast channel provided by an exemplary embodiment of the present application. The method for estimating the noise of the physical broadcast channel can be applied in the receiver shown above. In Figure 3, the noise estimation method of the physical broadcast channel includes:

Step 310, acquire a target resource unit group in the target physical broadcast channel block, where the target resource unit group is at least two resource units within a specified time-frequency range in the target physical broadcast channel block.

In the embodiment of the present application, the receiver can acquire the target resource unit group in one SSB. It should be noted that please refer to FIG. 4 , which is a schematic diagram based on the SSB structure shown in FIG. 3 . In FIG. 4 , the horizontal axis represents the time domain, and the four columns from left to right are OFDM (Orthogonal Frequency Division Multiplexing) symbol 0, OFDM symbol 1, OFDM symbol 2, and OFDM symbol 3. The vertical axis represents the frequency domain, and one SSB includes a total of 240 RE (Resource Element, resource unit) widths in the frequency domain. In another introduction manner, an SSB includes a total of 20 RB (Resource Block, resource block) widths in the frequency domain. In FIG. 4 , SSB includes four types of signals, namely PBCH signal, PSS signal, SSS signal and NULL (null value resource unit) signal. Wherein, in OFDM symbol 0, the 0th to 47th REs and the 192nd to 239th REs are NULL signals, and the 48th to 191st REs are PSS signals. All of OFDM symbol 1 and OFDM symbol 3 are PBCH signals. In OFDM symbol 2, the 0th to 55th REs and the 183rd to 239th REs are NULL signals, and the 56th to 182nd REs are SSS signals.

In the embodiment of the present application, the receiver can acquire an SSB in the received signal, and use the SSB as a target physical broadcast channel block (SSB). And, the receiver can acquire the target resource element group from the SSB.

Optionally, the target resource unit group occupies a frequency domain width of m resource blocks in the target physical broadcast channel block, the m resource blocks are continuous in the frequency domain, and m is a positive integer. Wherein, the m resource blocks are continuous in the frequency domain means that the positions of the resource blocks in the frequency domain are continuous. For example, m is 3, and the positions of the 3 resource blocks may be the 5th resource block, the 6th resource block and the 7th resource block.

Schematically, the target resource unit group may be a signal with a frequency domain width of one resource block. For example, resource unit group 410 and resource unit group 420 in FIG. 4 . If the target resource unit group is a signal with a frequency domain width of one resource block, then the target resource unit group includes 4*12 resource units.

In the resource unit group 410, the resource block 411, the resource block 412 and the resource block 413 all belong to the PBCH signal, and a resource block of a PBCH signal includes 3 RSs. Each of the resource block 411 , the resource block 412 and the resource block 413 contains 3 RSs (reference signals), and a total of 9 RSs in the resource unit group 410 can be used to calculate the resulting noise covariance matrix.

In the resource unit group 420, the resource block 421 belongs to the PSS signal, the resource block 422 and the resource block 424 belong to the PBCH signal, and the resource block 423 belongs to the SSS signal.

Schematically, the target resource unit group may also be a signal with a frequency domain width of 2 resource blocks. For example, resource unit group 430 in FIG. 4 .

Step 320, when the target resource unit group includes a synchronization signal, obtain n corresponding sample signals, where the sample signal includes a synchronization signal and a reference signal, and n is a positive integer.

Schematically, the target resource unit group may include a synchronization signal. For example, resource unit group 420 and resource unit group 430 in FIG. 4 are both resource unit groups including synchronization signals. In contrast, the resource unit group 410 in FIG. 4 is a resource unit group that does not include a synchronization signal.

Optionally, the synchronization signal includes a primary synchronization signal (PSS) and a secondary synchronization signal (SSS).

Step 330, calculating n sample noise covariance matrices corresponding to the sample signal.

In the embodiment of the present application, the receiver can calculate n sample noise covariance matrices corresponding to n sample signals according to a preset algorithm.

Step 340, calculating the cumulative mean value of n sample noise covariance matrices to obtain a resultant noise covariance matrix, which is used to indicate the noise condition of the received signal.

Schematically, in the case that n sample noise covariance matrices have been obtained, the receiver can accumulate the n sample noise covariance matrices, and calculate the accumulated mean value, and determine the accumulated mean value as the result noise covariance matrix, the resulting noise covariance matrix is used to indicate the noise condition of the received signal.

To sum up, the method for estimating the noise of the physical broadcast channel provided by this embodiment can obtain the target resource unit group in the target physical broadcast channel block, and when the target resource unit group includes the synchronization signal, the corresponding n samples can be obtained signal, the sample signal includes a synchronous signal and a reference signal, n is a positive integer, calculates n sample noise covariance matrices corresponding to the sample signal, and calculates the cumulative mean of n sample noise covariance matrices, and obtains the resulting noise covariance matrix, the The resulting noise covariance matrix is used to indicate the noise profile of the received signal. Since the embodiment of the present application enables the receiver to obtain n sample signals including the synchronization signal and the reference signal when the target resource unit group includes the synchronization signal, and calculate the corresponding result noise covariance matrix accordingly, so that the target physical When estimating the noise of the broadcast signal block, more samples can be obtained, thus making the noise estimation more accurate and improving the performance of the receiver for receiving signals.

Based on the solution disclosed in the previous embodiment, the receiver can also use different methods to perform noise estimation on the PBCH according to different sample signals. Please refer to the following examples.

Please refer to FIG. 5 . FIG. 5 is a flowchart of another method for estimating noise of a physical broadcast channel provided in another exemplary embodiment of the present application. In this method, the receiver can implement different PBCH noise estimation methods according to different sample signals. The method for estimating the noise of the physical broadcast channel can be applied in the receiver shown above. In Fig. 5, the noise estimation method of the physical broadcast channel includes:

Step 510, acquire the target resource unit group in the target physical broadcast channel block.

In the embodiment of the present application, the execution process of step 510 is the same as the execution process of step 310, and will not be repeated here.

Step 521, when the target resource unit group includes the secondary synchronization signal, obtain corresponding n sample signals.

Wherein, the sample signal includes a secondary synchronization signal and a reference signal.

In the embodiment of the present application, when the target resource unit group includes a Secondary Synchronization Signal (SSS), the receiver can acquire the corresponding n sample signals.

Please refer to FIG. 6 , which is a schematic diagram of a sample signal provided based on the embodiment shown in FIG. 5 . In FIG. 6 , the target resource unit group 600 includes resource blocks with a width of 1 resource block and a length of 4 OFDM symbols, which are respectively resource block 610 , resource block 620 , resource block 630 and resource block 640 . Wherein, the resource block 610 belongs to the primary synchronization signal (PSS), the resource block 620 and the resource block 640 belong to the PBCH signal, and the resource block 630 belongs to the secondary synchronization signal (SSS).

The resource block 610 includes a total of 12 resource units from resource unit 6101 to resource unit 6112 .

The resource block 620 includes a total of 12 resource units from resource unit 6201 to resource unit 6212 .

The resource block 630 includes a total of 12 resource units from resource unit 6301 to resource unit 6312 .

The resource block 640 includes a total of 12 resource units from resource unit 6401 to resource unit 6412 .

In a possible usage manner, if the receiver uses PSS, SSS and PBCH as sample signals. For the scenario where the PSS is used as a sample signal, all 12 resource units from resource unit 6101 to resource unit 6112 can be used as a sample signal. For the scenario where the SSS is used as a sample signal, all 12 resource units from resource unit 6301 to resource unit 6312 can be used as a sample signal. For the scenario where PBCH is used as a sample signal, resource unit 6201, resource unit 6204, resource unit 6208, resource unit 6401, resource unit 6404, and resource unit 6408 are all used as RS, a total of 6 sample signals, which can also be used as sample signals. In this scene, there are 30 sample signals in total.

In another possible usage manner, if the receiver uses SSS and PBCH as sample signals. In this usage scenario, for the scenario where the SSS is used as a sample signal, all 12 resource units from resource unit 6301 to resource unit 6312 can be used as a sample signal. In this usage scenario, for the scenario where PBCH is used as a sample signal, resource unit 6201, resource unit 6204, resource unit 6208, resource unit 6401, resource unit 6404, and resource unit 6408 are all used as RS, and there are 6 sample signals in total. In this scenario, the sample signal is 18 resource units in total.

Step 522, obtain a second channel estimation result according to the channel interpolation coefficient and the first channel estimation result.

Wherein, the first channel estimation result is the channel estimation result of the synchronization signal after channel filtering, the second channel estimation result is the channel estimation result of the synchronization signal after channel interpolation, and the channel interpolation coefficient is the channel interpolation corresponding to the time-frequency position of the synchronization signal coefficient.

Optionally, the receiver may use the channel estimation result after channel filtering of the DMRS of the PBCH to interpolate to obtain the channel estimation value of the synchronization signal (SS) position. Since the sequence of the synchronization signal (SS) is a known sequence, an equivalent received signal after the SS signal passes through the channel can be obtained. The receiver uses the observed value of the actual received signal at the SS position to subtract the equivalent received signal at the SS position to obtain the noise value. The noise values of multiple receiving antennas form a noise vector, and the noise vector is autocorrelated to obtain the noise covariance matrix of each SS point .

Schematically, the calculation process of step 522 can be represented by the following formula.

H _{Interp, SS, i} = W _{SS, i} H _{Filter, RS, i}

Wherein, W _{SS, i} is the channel interpolation coefficient, H _{Filter, RS, i} is the first channel estimation result, H _{Interp, SS, i} is the second channel estimation result.

Step 523: Obtain a first noise value according to the first observed value of the received signal, the second channel estimation result, and the transmitted signal.

Wherein, the first received signal observation value is the actual received signal observation value at the time-frequency position where the synchronization signal is located, and the first noise value is the noise value at the time-frequency position where the synchronization signal is located.

Schematically, the implementation process of step 523 can be implemented by the following formula.

n _{SS, i} = y _{SS, i} - H _{Interp, SS, i} x _{SS, i}

Wherein, n _SS,i is the first noise value, y _SS,i is the first received signal observation value, H _Interp,SS,i is the second channel estimation result, x _SS,i is the transmitted signal.

In step 524, q first noise values corresponding to q antennas are acquired, and the q first noise values form a first noise vector, and q is a positive integer.

Schematically, in the 5G NR technology, there are usually multiple radio frequency antennas, and the noise value corresponding to each antenna is different. The receiver can acquire q first noise values corresponding to q antennas, and the q first noise values form a first noise vector.

Step 525, performing autocorrelation on the first noise vector to obtain a sample noise covariance matrix of the synchronization signal.

Schematically, the execution process shown in step 525 can be represented by the following formula.

where R _nn,SS,i is the sample noise covariance matrix and n _RS,i is the first noise vector.

Step 531a, when the target resource unit group includes the primary synchronization signal and zero-value resource units, obtain corresponding n sample signals.

Wherein, the sample signal includes a primary synchronization signal, a zero-value resource unit and a reference signal.

Please refer to FIG. 7 , which is a schematic diagram of another sample signal provided based on the embodiment shown in FIG. 5 . In the sample signal shown in FIG. 7 , the target resource unit group 700 includes resource blocks with a width of 1 resource block and a length of 4 OFDM symbols, namely resource block 710 , resource block 720 , resource block 730 and resource block 740 . Among them, the resource block 720 and the resource block 740 belong to the PBCH signal; the resource block 710 includes 3 resource elements belonging to the primary synchronization signal (PSS) and 9 resource elements of zero value; the resource block 730 includes 3 resource elements belonging to the secondary synchronization signal ( SSS) resource units and 9 zero-valued resource units.

In a possible usage manner, if the receiver uses PSS, SSS, zero-value resource elements and PBCH as sample signals. For the scenario where the PSS is used as a sample signal, 3 resource units in the resource block 710 will be used as a sample signal, and 9 zero-valued resource units will also be used as a sample signal. For the scenario where the SSS is used as a sample signal, 3 resource units in the resource block 730 will be used as a sample signal, and 9 zero-valued resource units will also be used as a sample signal. For the scenario where PBCH is used as a sample signal, resource unit 7201, resource unit 7204, resource unit 7208, resource unit 7401, resource unit 7404, and resource unit 7408 are all used as RS, a total of 6 sample signals, which can also be used as sample signals. In this scene, there are 30 sample signals in total.

In another possible usage manner, if the receiver uses SSS, zero-valued resource units and PBCH as sample signals. For the scenario where the PSS is used as a sample signal, 3 resource units in the resource block 710 will be used as a sample signal, and 9 zero-valued resource units will also be used as a sample signal. For the scenario where PBCH is used as a sample signal, resource unit 7201, resource unit 7204, resource unit 7208, resource unit 7401, resource unit 7404, and resource unit 7408 are all used as RS, a total of 6 sample signals, which can also be used as sample signals. In this scene, there are 18 sample signals in total.

In another possible usage manner, if the receiver uses SSS and PBCH as sample signals. For the scenario where the PSS is used as a sample signal, the 3 resource units in the resource block 710 will be used as a sample signal. For the scenario where PBCH is used as a sample signal, resource unit 7201, resource unit 7204, resource unit 7208, resource unit 7401, resource unit 7404, and resource unit 7408 are all used as RS, a total of 6 sample signals, which can also be used as sample signals. In this scene, there are 9 sample signals in total.

Step 531b, when the target resource unit group includes the primary synchronization signal, the secondary synchronization signal and zero-value resource units, obtain corresponding n sample signals.

Wherein, the sample signal includes a primary synchronization signal, a secondary synchronization signal, zero-valued resource units and a reference signal.

Based on the embodiment shown in FIG. 6 , on the basis of the existing 18 sample signals, the receiver can also use 12 resource units in the resource block 630 as sample signals, a total of 30 sample signals, and 30 is used for n.

It should be noted that, in the embodiment of the present application, on the one hand, the receiver may calculate the sample noise covariance matrix corresponding to the sample signal of the primary synchronization signal or the secondary synchronization signal by performing steps 522 to 525 .

On the other hand, the receiver may calculate the sample noise covariance matrix corresponding to the sample signal of the zero-valued resource unit by performing steps 532 to 535 .

Step 532, acquiring a second observed value of the received signal.

Wherein, the second received signal observed value is an actual received signal observed value at the time-frequency position where the zero-valued resource unit is located.

Step 533, use the second observed value of the received signal as the second noise value.

Schematically, the execution process of step 533 can be represented by the following formula.

n _{Null, i} = y _{Null, i}

Wherein, y _{Null, i} is the second received signal observation value, n _{Null, i} is the second noise value.

Step 534: Acquire p second noise values corresponding to the p antennas, the p second noise values form a second noise vector, and p is a positive integer.

Step 535, performing autocorrelation on the second noise vector to obtain a sample noise covariance matrix of zero-valued resource units.

Schematically, the execution process of step 535 can be represented by the following formula.

Wherein, n _{Null, i} is the second noise vector, R _nn , _{Null, i} is the sample noise covariance matrix. Among them, (·) ^H represents the conjugate transpose, and i represents the i-th position. Schematically, the meanings of i in this application represent the same.

Step 540, calculate the cumulative mean value of n sample noise covariance matrices, and obtain the resulting noise covariance matrix.

In the embodiment of the present application, the execution manner of step 540 is the same as the execution manner of step 340, and will not be repeated here.

In summary, this embodiment can select resource units of PSS, resource units in SSS, resource units in PSS, or zero-value resource units in the SSB block to calculate the noise covariance matrix, so that the noise of the target physical broadcast signal block More samples can be obtained during estimation, thus making the noise estimation more accurate and improving the performance of the receiver for receiving signals.

Optionally, in a possible implementation of the present application, using this embodiment to calculate the noise estimate of the physical broadcast channel can significantly reduce the block error rate (English: block errorrate, abbreviation: BLER).

Optionally, in this application, more than one target resource unit group with a resource block width can be selected, and several resource blocks can be arbitrarily selected as sample signals to perform noise estimation operations, which is not limited to the above-mentioned embodiment. For example, as shown in FIG. 4 , when acquiring target resource unit groups of four resource block widths at the upper and lower edges, NULL (zero value resource unit) signals and PBCH signals are used as sample signals to perform noise estimation calculations.

The following are device embodiments of the present application, which can be used to implement the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

Please refer to FIG. 8 , which is a structural block diagram of an apparatus for estimating noise of a physical broadcast channel provided by an exemplary embodiment of the present application. The device for estimating the noise of the physical broadcast channel can be implemented as all or a part of the receiver through software, hardware or a combination of the two. The device includes:

A resource unit acquisition module 810, configured to acquire a target resource unit group in the target physical broadcast channel block, where the target resource unit group is at least two resource units within a specified time-frequency range in the target physical broadcast channel block;

A sample signal acquisition module 820, configured to acquire n corresponding sample signals when the target resource unit group includes a synchronization signal, where the sample signal includes the synchronization signal and a reference signal, and n is a positive integer;

A first calculation module 830, configured to calculate n sample noise covariance matrices corresponding to the sample signal;

The second calculation module 840 is configured to calculate the cumulative mean value of the n sample noise covariance matrices to obtain a result noise covariance matrix, and the result noise covariance matrix is used to indicate the noise condition of the received signal.

In an optional embodiment, the synchronization signal involved in the apparatus includes at least one of a secondary synchronization signal or the primary synchronization signal.

In an optional embodiment, the first calculation module 830 is configured to acquire a second received signal observed value when the sample signal includes the zero-valued resource unit, and the second received signal observed value is The actual received signal observation value of the time-frequency position where the zero-value resource unit is located; the second received signal observation value is used as a second noise value; and p second noise values corresponding to p antennas are obtained, p The second noise value forms a second noise vector, p is a positive integer; performing autocorrelation on the second noise vector to obtain the sample noise covariance matrix of the zero-valued resource unit.

In an optional embodiment, the target resource unit group occupies a frequency domain width of m resource blocks in the target physical broadcast channel block, the m resource blocks are continuous in the frequency domain, and m is a positive integer.

In an optional embodiment, the first calculation module 830 is configured to obtain a second channel estimation result according to the channel interpolation coefficient and the first channel estimation result, and the first channel estimation result is The channel estimation result after channel filtering, the second channel estimation result is the channel estimation result of the synchronization signal after channel interpolation, and the channel interpolation coefficient is the channel interpolation coefficient corresponding to the time-frequency position where the synchronization signal is located; according to The first received signal observed value, the second channel estimation result, and the transmitted signal to obtain a first noise value, the first received signal observed value is an actual received signal observed value at the time-frequency position where the synchronization signal is located, and the The first noise value is the noise value at the time-frequency position where the synchronization signal is located; q first noise values corresponding to q antennas are obtained, and the q first noise values form a first noise vector, and q is a positive integer ; performing autocorrelation on the first noise vector to obtain the sample noise covariance matrix of the synchronization signal.

The device for estimating the noise of the physical broadcast channel provided by the embodiment of the present application can obtain the corresponding n sample signals when the target resource unit group includes the synchronization signal by obtaining the target resource unit group in the target physical broadcast channel block, and the sample signal Including the synchronization signal and the reference signal, n is a positive integer, calculate the n sample noise covariance matrices corresponding to the sample signal, and calculate the cumulative mean of the n sample noise covariance matrices, and obtain the result noise covariance matrix, the result noise covariance The matrix is used to indicate the noise condition of the received signal. Since the embodiment of the present application enables the receiver to acquire n sample signals including the synchronization signal and the reference signal when the target resource unit group includes the synchronization signal, and calculate the corresponding result noise covariance matrix accordingly, so that the target physical When estimating the noise of the broadcast signal block, more samples can be obtained, thus making the noise estimation more accurate and improving the performance of the receiver for receiving signals.

The embodiment of the present application also provides a computer-readable medium, the computer-readable medium stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the physical broadcast channel as described in each of the above embodiments noise estimation method.

It should be noted that when the device for estimating the noise of the physical broadcast channel provided by the above-mentioned embodiment executes the method for estimating the noise of the physical broadcast channel, the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned Function allocation is accomplished by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device for estimating the noise of the physical broadcast channel provided by the above embodiment and the embodiment of the method for estimating the noise of the physical broadcast channel belong to the same concept, and the specific implementation process thereof is detailed in the method embodiment, and will not be repeated here.

The serial numbers of the above embodiments of the present application are for description only, and do not represent the advantages and disadvantages of the embodiments.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above embodiments can be completed by hardware, and can also be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium. The above-mentioned The storage medium mentioned may be a read-only memory, a magnetic disk or an optical disk, and the like.

The above descriptions are only exemplary embodiments of the present application that can be realized, and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the Within the protection scope of this application.

Claims (10)

1. A method for noise estimation of a physical broadcast channel, the method comprising:

acquiring a target resource unit group in a target physical broadcast channel block, wherein the target resource unit group is at least two resource units in a specified time frequency range in the target physical broadcast channel block;

acquiring n sample signals for the target resource unit group, wherein the sample signals comprise at least two of a synchronization signal, a reference signal and a zero-value resource unit, and n is a positive integer;

calculating n sample noise covariance matrixes corresponding to the sample signals;

and calculating the accumulated mean of the n sample noise covariance matrixes to obtain a result noise covariance matrix, wherein the result noise covariance matrix is used for indicating the noise condition of the received signal.

2. The method of claim 1, wherein the synchronization signal comprises at least one of a primary synchronization signal or a secondary synchronization signal.

3. The method of claim 1 or 2, wherein when the sample signal comprises the zero-valued resource elements, calculating n sample noise covariance matrices for the sample signal comprises:

acquiring a second received signal observation value, wherein the second received signal observation value is an actual received signal observation value of the time-frequency position where the zero-value resource unit is located;

taking the second received signal observation as a second noise value;

acquiring p second noise values corresponding to p antennas, wherein the p second noise values form a second noise vector, and p is a positive integer;

and performing autocorrelation on the second noise vector to obtain the sample noise covariance matrix of the zero-value resource unit.

4. The method according to claim 1 or 2, wherein the target resource element group occupies a frequency domain width of m resource blocks in the target physical broadcast channel block, m of the resource blocks are consecutive in a frequency domain, and m is a positive integer.

5. The method of claim 1 or 2, wherein when the sample signal comprises the synchronization signal, calculating n sample noise covariance matrices corresponding to the sample signal comprises:

obtaining a second channel estimation result according to a channel interpolation coefficient and a first channel estimation result, wherein the first channel estimation result is a channel estimation result of the synchronous signal after channel filtering, the second channel estimation result is a channel estimation result of the synchronous signal after channel interpolation, and the channel interpolation coefficient is a channel interpolation coefficient corresponding to a time-frequency position where the synchronous signal is located;

obtaining a first noise value according to a first received signal observation value, the second channel estimation result and a sending signal, wherein the first received signal observation value is an actual received signal observation value of a time-frequency position where the synchronous signal is located, and the first noise value is a noise value of the time-frequency position where the synchronous signal is located;

obtaining q first noise values corresponding to q antennas, wherein the q first noise values form a first noise vector, and q is a positive integer;

and performing autocorrelation on the first noise vector to obtain the sample noise covariance matrix of the synchronization signal.

6. An apparatus for estimating noise of a physical broadcast channel, the apparatus comprising:

a resource unit obtaining module, configured to obtain a target resource unit group in a target physical broadcast channel block, where the target resource unit group is at least two resource units in a specified time-frequency range in the target physical broadcast channel block;

a sample signal obtaining module, configured to obtain n sample signals from the target resource unit group, where the sample signals include at least two of a synchronization signal, a reference signal, and a zero-value resource unit, and n is a positive integer;

the first calculation module is used for calculating n sample noise covariance matrixes corresponding to the sample signals;

and the second calculation module is used for calculating the accumulated mean value of the n sample noise covariance matrixes to obtain a result noise covariance matrix, and the result noise covariance matrix is used for indicating the noise condition of the received signal.

7. The noise estimation device of claim 6, wherein the synchronization signal comprises at least one of a primary synchronization signal or a secondary synchronization signal.

8. The noise estimation apparatus according to claim 6 or 7, wherein when the sample signal includes the zero-valued resource elements, the first calculation module is configured to:

acquiring a second received signal observation value, wherein the second received signal observation value is an actual received signal observation value of the time-frequency position where the zero-value resource unit is located;

taking the second received signal observation as a second noise value;

acquiring p second noise values corresponding to p antennas, wherein the p second noise values form a second noise vector, and p is a positive integer;

and performing autocorrelation on the second noise vector to obtain the sample noise covariance matrix of the zero-value resource unit.

9. A receiver, characterized in that the receiver comprises a processor, a memory connected to the processor, and program instructions stored on the memory, which when executed by the processor implement the method of noise estimation of a physical broadcast channel according to any of claims 1 to 5.

10. A computer readable storage medium having stored thereon program instructions which, when executed by a processor, implement the method of noise estimation of a physical broadcast channel according to any one of claims 1 to 5.

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